| metric | Score |
|---|---|
| accuracy | 0.808 |
| precision | 0.754 |
| recall | 0.975 |
| f1 | 0.851 |
| roc_auc_score | 0.837 |
| pr_auc_score | 0.812 |
| log_loss | 0.429 |
| label | probability | logodds |
|---|---|---|
| 0* | 15.4 % | -1.705 |
| 1 | 84.6 % | 1.705 |
| Reason | Effect |
|---|---|
| Average of population | -0.19 |
| Previously_Insured = 0.0 | +0.76 |
| Vehicle_Damage_Yes = 1.0 | +0.54 |
| Vehicle_Age_lt_1_Year = 0.0 | +0.24 |
| Vehicle_Age_gt_2_Years = 1.0 | +0.23 |
| Policy_Sales_Channel = 26.0 | +0.16 |
| Age = 0.34260429820518445 | -0.09 |
| Gender = 1.0 | +0.06 |
| Vintage = 0.6299655402446693 | -0.0 |
| Annual_Premium = 0.08856725608565025 | -0.0 |
| Region_Code = 28.0 | -0.0 |
| Other features combined | +0.0 |
| Final prediction | 1.71 |
| label | probability | logodds |
|---|---|---|
| 0 | 19.9 % | -1.391 |
| 1 | 80.1 % | 1.391 |
| Reason | Effect |
|---|---|
| Average of population | -0.19 |
| Previously_Insured = 0.0 | +0.76 |
| Vehicle_Damage_Yes = 1.0 | +0.54 |
| Vehicle_Age_lt_1_Year = 0.0 | +0.24 |
| Age = -0.43509549375910955 | +0.17 |
| Policy_Sales_Channel = 124.0 | -0.06 |
| Gender = 0.0 | -0.06 |
| Vehicle_Age_gt_2_Years = 0.0 | -0.02 |
| Vintage = -1.6952691812469631 | +0.01 |
| Region_Code = 28.0 | -0.0 |
| Annual_Premium = 0.04603421172574809 | +0.0 |
| Other features combined | +0.0 |
| Final prediction | 1.39 |